@inproceedings{3122d56f422a4073bcca990e649625b2,
title = "Multimedia data mining and searching through dynamic index evolution",
abstract = "While the searching of text document has grown relatively mature on the Internet, the searching of images and other forms of multimedia data significantly lags behind. To search visual information on the basis of semantic concepts requires both their discovery and meaningful indexing. By analyzing the users' search, relevance feedback and selection patterns, we propose a method which allows semantic concepts to be discovered and migrated through an index hierarchy. Our method also includes a robust scoring mechanism that permits faulty indexing to be rectified over time. These include: (i) repeated and sustained corroboration of specific index terms before installation, and (ii) the ability for the index score to be both incremented and decremented. Experimental results indicate that convergence to an optimum index level may be achieved in reasonable time periods through such dynamic index evolution.",
keywords = "Dynamic indexing, Evolution strategy, Information recovery, Multimedia data mining, Relevance feedback, Semantic search, Web intelligence",
author = "LEUNG, {Clement H C} and Jiming LIU",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 9th International Conference on Visual Information Systems, VISUAL 2007 ; Conference date: 28-06-2007 Through 29-06-2007",
year = "2007",
doi = "10.1007/978-3-540-76414-4_30",
language = "English",
isbn = "9783540764137",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "298--309",
booktitle = "Advances in Visual Information Systems - 9th International Conference, VISUAL 2007, Revised Selected Papers",
address = "Germany",
}